Abstract
We compiled a new sentence splitting corpus that is composed of 203K pairs of aligned complex source and simplified target sentences. Contrary to previously proposed text simplification corpora, which contain only a small number of split examples, we present a dataset where each input sentence is broken down into a set of minimal propositions, i.e. a sequence of sound, self-contained utterances with each of them presenting a minimal semantic unit that cannot be further decomposed into meaningful propositions. This corpus is useful for developing sentence splitting approaches that learn how to transform sentences with a complex linguistic structure into a fine-grained representation of short sentences that present a simple and more regular structure which is easier to process for downstream applications and thus facilitates and improves their performance.- Anthology ID:
- W19-8615
- Volume:
- Proceedings of the 12th International Conference on Natural Language Generation
- Month:
- October–November
- Year:
- 2019
- Address:
- Tokyo, Japan
- Editors:
- Kees van Deemter, Chenghua Lin, Hiroya Takamura
- Venue:
- INLG
- SIG:
- SIGGEN
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 118–123
- Language:
- URL:
- https://aclanthology.org/W19-8615
- DOI:
- 10.18653/v1/W19-8615
- Cite (ACL):
- Christina Niklaus, André Freitas, and Siegfried Handschuh. 2019. MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions. In Proceedings of the 12th International Conference on Natural Language Generation, pages 118–123, Tokyo, Japan. Association for Computational Linguistics.
- Cite (Informal):
- MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions (Niklaus et al., INLG 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/W19-8615.pdf